Getting Started
For Tater: Sign up and get going right away.
For the automatic pipeline: Contact us to onboard.
Technical Requirements
For optimal tracking accuracy, the camera needs to be positioned as follows:
- Centered behind the baseline: The camera should be positioned more or less centered at the back of the court, aligned with the center service line.
- Elevated position: The camera should be elevated above court level. Higher is better. The more elevation, the better the tracking accuracy.
- No side angles: We do not support side-angle footage. The camera must be positioned behind one of the baselines.
Important: Accuracy decreases when the camera is positioned off the center line. The further off-center the camera angle, the less accurate the tracking data will be.
All of them! Just get us the video. We run all our algorithms in the cloud, so we're not tied to any specific camera ecosystem.
We support all the main video formats. Supporting formats is easy on our end. If we've missed one you need, just let us know and we'll add it.
Ideal resolution: 1080×1920 works great, but 720p also works nicely. 4K is normally not needed and just increases processing time.
Capabilities
Not at this time. Doubles support is something we're planning for the future.
Pickleball and other racket sports are in the pipeline and will be worked on soon.
Either! SplitStep works great for both practice sessions and competitive matches.
Output & Integration
Automatic pipeline: We output JSON files with tracking and event data converted to real-world coordinates (and pixels). This includes player positions, strokes, and ball bounces (coming soon). We can tailor the output format to match your needs.
Tater: Outputs your labelled data in real-world coordinates as JSON. Contact us if you need a different format.
Absolutely! This is what the automatic pipeline is designed for. You hit our endpoint, and we send your results back ready to integrate into your workflow.
This is where the fun begins!
The data is designed to fit into your current tools, or allows you to build scalable models that no longer rely on manually tagged data. You can now build your shot quality model over hundreds of games!
Get in touch if you'd like to brainstorm. We're happy to help.
Performance
If you're using our automatic pipeline, it's typically less than 1 hour for a 2-hour match.
We're always striving to improve, and video quality can drastically affect results. With an ideal camera setup, we achieve approximately 95% accuracy for stroke detection.
Ball bounce detection accuracy metrics will be added soon.
Security
Yes! With Tater, you don't upload anything to our cloud. With the automatic pipeline, your data is not shared with anyone else.
See our EULA and Privacy Policy for full details.
About
We've been working in this space consulting for hockey, soccer, and NBA teams. We've learned a lot, including what you can do with raw tracking data.
But in tennis, getting that raw data has always been a challenge. SplitStep unlocks that first hurdle.
A split step is a small hop timed just before your opponent hits the ball. You land lightly on the balls of your feet in a balanced, athletic stance, ready to push off instantly in any direction.
It's essential in racket sports (tennis, pickleball, badminton) for optimal balance and faster reactions to the ball's trajectory.